SHAPR: A Solo Human-Centred and AI-Assisted Practice Framework for Research Software Development
A new 28-page framework finally makes AI-assisted research development rigorous and accountable.
A new academic paper introduces the SHAPR framework, a practice-level operational system designed specifically for solo researchers developing AI-assisted software. It translates high-level Action Design Research principles into actionable guidance, explicitly defining roles, artifacts, and lightweight governance to maintain human accountability and methodological rigor. The 28-page conceptual framework aims to solve the challenge of using generative AI tools without compromising on reflection, learning, or the integrity of the research process itself.
Why It Matters
This provides a critical blueprint for trustworthy, rigorous AI collaboration in academic and research software development.